Personalized federated learning with feature alignment and classifier collaboration

J Xu, X Tong, SL Huang - arXiv preprint arXiv:2306.11867, 2023 - arxiv.org
Data heterogeneity is one of the most challenging issues in federated learning, which
motivates a variety of approaches to learn personalized models for participating clients. One …
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Personalized Federated Learning with Feature Alignment and Classifier Collaboration

J Xu, X Tong, SL Huang - The Eleventh International Conference on … - openreview.net
Data heterogeneity is one of the most challenging issues in federated learning, which
motivates a variety of approaches to learn personalized models for participating clients. One …

Personalized Federated Learning with Feature Alignment and Classifier Collaboration

J Xu, X Tong, SL Huang - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Data heterogeneity is one of the most challenging issues in federated learning, which
motivates a variety of approaches to learn personalized models for participating clients. One …